Master of Science in Data Science
A comprehensive Master's programme focusing on modern machine learning, statistical methods, and their practical applications in science and industry.
Best for:Best for students with a strong background in mathematics, statistics, or computer science seeking to specialize in advanced data analytics.
Overview
The Master of Science in Data Science at the Catholic University of Eichstätt-Ingolstadt provides an in-depth education in modern data analysis and machine learning techniques. Students engage with a curriculum that balances theoretical mathematical foundations with practical implementation in fields such as operations research and climate science. The programme emphasizes interdisciplinary problem-solving, preparing graduates for careers in globally active companies or research environments. Participants benefit from a diverse, international academic community and have the opportunity to integrate study abroad units into their degree.
What you'll do
- Complete core modules in mathematics, statistics, and machine learning principles.
- Develop efficient mathematical and statistical algorithms using Python.
- Manage structured big data and perform advanced data analytics.
- Collaborate on an applied data science project to solve real-world problems.
- Address ethical and legal implications of data collection and analysis.
- Conduct independent research for the Master's thesis.
Requirements
Degree required: Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Physics, or a closely related field.
Degree offered: Master of Science
Language: English; B2 level proficiency required (e.g., Cambridge B2 First).
Instruction: English
- One year of Linear Algebra including fundamental proofs.
- One year of Analysis including fundamental proofs.
- Foundational knowledge in optimization.
- Basic proficiency in probability and statistics.
- Competence in algorithms and programming.
- Applicants must hold or expect to complete a relevant Bachelor's degree.
- Non-EU applicants must meet specific admission criteria.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2025-07-15
Applicants must submit their materials via the uni-assist portal or the university website. Candidates are required to complete a self-assessment form to verify their academic background against the programme prerequisites.
- Self-assessment form
- Language certificate
- Academic transcripts
Contact
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